Distance-based learning confidence model
US12039443B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 11, 2022 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Oct 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes receiving a training data set including a plurality of training data subsets. From two or more training data subsets in the training data set, the method includes selecting a support set of training examples and a query set of training examples. The method includes determining, using the classification model, a centroid value for each respective class. For each training example in the query set of training examples, the method includes generating, using the classification model, a query encoding, determining a class distance measure, determining a ground-truth distance, and updating parameters of the classification model. For each training example in the query set of training examples identified as being misclassified, the method further includes generating a standard deviation value, sampling a new query, and updating parameters of the confidence model based on the new query encoding.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.